Savanur Mitravinda S, Ghugre Padmini S
Department of Food Science and Nutrition, Sir Vithaldas Vihar, S.N.D.T. Women's University, Juhu Road, Mumbai, 400049, Maharashtra, India.
J Health Popul Nutr. 2015 Jul 10;33:3. doi: 10.1186/s41043-015-0017-x.
Conventional indicators - weight-for-age, height-for-age, weight-for-height and mid-upper arm circumference (MUAC) reflect different facets of the nutritional status. Weight-for-age is the most commonly used indicator. When used individually or in combination, conventional indices fail to depict the overall magnitude of undernutrition in the population. Composite Index of Anthropometric Failure (CIAF) is an alternative classification system which attempts to fill this lacuna. Thus, we undertook this study with the objective to compare the prevalence of undernutrition using CIAF and the conventional indices. We included 634 children aged between 2 to 4 years from anganwadis located in three areas of Mumbai. Weight, height and MUAC measurements were taken. Z scores were computed for weight-for-age (WAZ), height-for-age (HAZ) and weight-for-height (WHZ) using WHO Anthro software. Children were classified as per the conventional indices and CIAF. The prevalence of underweight, stunting and wasting was 35.7%, 33.8% and 18.5% respectively. None of the children had MUAC < 11.5 cm. About 1% of the children were moderately wasted according to MUAC. As per CIAF, 47.8% children were undernourished. According to CIAF, one-third of the undernourished children had single anthropometric failure while half of them had dual failure and 17.1% had multiple failures. When compared with the conventional indices, CIAF could recognize 12.1%, 14.0%, 29.3% and 46.7% more undernourished children than WAZ, HAZ, WHZ and MUAC respectively. In conclusion, CIAF is seen to have many advantages over the conventional indices. CIAF is useful in assessing the overall magnitude of undernutrition and identifying children with multiple anthropometric failures. It also recognizes more undernourished children than all the conventional indices. Therefore, CIAF should be used more widely as a tool for nutritional assessment particularly in developing countries where the burden of undernutrition is high.
传统指标——年龄别体重、年龄别身高、身高别体重和上臂中段周长(MUAC)反映了营养状况的不同方面。年龄别体重是最常用的指标。传统指标单独使用或联合使用时,都无法描述人群中营养不良的总体程度。人体测量失败综合指数(CIAF)是一种替代性分类系统,旨在填补这一空白。因此,我们开展了这项研究,目的是比较使用CIAF和传统指标时营养不良的患病率。我们纳入了来自孟买三个地区的安格瓦迪中心的634名2至4岁儿童。测量了体重、身高和MUAC。使用世界卫生组织儿童生长标准软件计算年龄别体重(WAZ)、年龄别身高(HAZ)和身高别体重(WHZ)的Z评分。根据传统指标和CIAF对儿童进行分类。体重不足、发育迟缓及消瘦的患病率分别为35.7%、33.8%和18.5%。没有儿童的MUAC<11.5厘米。根据MUAC,约1%的儿童为中度消瘦。根据CIAF,47.8%的儿童营养不良。根据CIAF,三分之一的营养不良儿童存在单一人体测量失败,一半存在双重失败,17.1%存在多重失败。与传统指标相比,CIAF分别比WAZ、HAZ、WHZ和MUAC多识别出12.1%、14.0%、29.3%和46.7%的营养不良儿童。总之,CIAF相对于传统指标具有许多优势。CIAF有助于评估营养不良的总体程度,并识别出存在多种人体测量失败的儿童。它识别出的营养不良儿童也比所有传统指标更多。因此,CIAF应作为一种营养评估工具得到更广泛的应用,尤其是在营养不良负担较高的发展中国家。